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AI News Flash: Renowned environmental activist Erin Brockovich, famous for exposing PG&E’s groundwater contamination case in the US (later adapted into the eponymous film), is now turning her attention to the lack of transparency at data centers with a new advocacy push. However, the original brief only mentions she has a ’new mission,’ without specifying the target of her accusations, her demands, or details of the action — see the source link for more.

AI News Flash: The latest episode of TechCrunch’s Equity Podcast digs into a question that’s been sparking debate — are tech CEOs more prone to what’s being called ‘AI psychosis’ than the average person? The term has been getting attention lately, describing how some executives, after leaning too heavily on or trusting AI systems too much, end up with unrealistic beliefs about what the technology can actually do.

Judy AI Lab compiles 7 Google Agent CLI automation script frameworks, from morning briefings to bedtime patrols — each kept under 30 lines — to help small business owners slot AI agents into daily workflows. Includes Claude Code division-of-labor principles and three common pitfalls to avoid.

AI news brief: SoftBank has announced plans to invest up to €75 billion in France to build and operate large-scale data centers. The official statement says the goal is to develop and operate up to 5 gigawatts (GW) of additional data center capacity within France, underscoring SoftBank’s heavy focus on European AI infrastructure. The 5 GW figure is the core technical number in this announcement and a key benchmark for assessing the scale of the investment and its real-world compute impact.

AI News Brief: As competition in the browser market heats up, a wave of new alternatives is challenging the dominance of Chrome and Safari. TechCrunch rounded up the most talked-about alternative browsers of 2026, spanning privacy protection, performance optimization, and AI integration. Some browsers lead with anti-tracking, built-in ad blocking, or zero-data-collection policies to win over privacy-conscious users, while others focus on speed and cross-platform experience.

AI News Brief: Google has launched an AI assistant called Gemini Spark, positioned as a round-the-clock automation assistant to help users handle daily repetitive tasks. Based on available information, its features cover use cases like email inbox summarization and local event planning suggestions, aiming to cut down the time and energy users spend on trivial information processing. In hands-on testing, Gemini Sp…

AI News Brief: According to tech media reports, Meta is developing an AI wearable device, reportedly in the form of a smart pendant that hangs around the neck. This move shows Meta continuing to extend its AI capabilities into hardware devices, following up on its Ray-Ban smart glasses with another strategic bet on AI hardware. However, public information remains extremely limited, with product specs, positioning, and launch timing all still undisclosed.

AI news brief: Box founder Aaron Levie recently called out a phenomenon he calls ‘AI psychosis’ - the executives who confidently decide ‘AI can replace this role’ are often the people who understand that job the least. He points out this decision-making blind spot is spreading across tech, as leaders get so swept up in AI’s potential that they push through layoffs without really understanding the workflows, responsibilities, and human judgment the job actually requires.

AI News Brief: As artificial intelligence technology rapidly goes mainstream, the industry has spawned a flood of specialized jargon and slang that leaves many newcomers confused. TechCrunch has put together a glossary of common AI terms, covering definitions for the most important terms right now — from technical concepts like hallucination, model, and training data to AI slang that’s increasingly popping up in everyday conversation. The glossary aims to help readers quickly grasp context and meaning when reading AI news or talking with people in the industry.

AI news brief: Researchers warn that while AI tools let developers ship code faster, overall code quality isn’t necessarily improving — and may even be declining. What’s worrying about this trend is that as developers get used to relying on AI autocomplete and generation, their own coding logic and debugging judgment may gradually atrophy, and once enough low-quality code piles up, it can trigger unpredictable chain reactions down the line in maintenance, scaling, and security.